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Record W7144039548 · doi:10.34429/00001250

マティアス・ペルトの日記に見られる1814年~1815年のウィーン会議と音楽 : 会議の開始まで

2016· article· ja· W7144039548 on OpenAlexaboutno aff
Gerald Groemer

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2016
Typearticle
Languageja
FieldArts and Humanities
TopicEuropean Political History Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsOrder (exchange)Quarter (Canadian coin)Set (abstract data type)Social orderPeriod (music)

Abstract

fetched live from OpenAlex

フランス革命以降四半世紀も続いていた戦争がようやく終わり、新しい政治秩序を定めるため1814年~1815年に「ウィーン会議」が開かれた。会議に先立ち、あるいは開催期間中にも大小の行事、軍事パレード、宗教儀式、音楽演奏会、演劇上演、舞踏会、「民衆の祭り」などがほぼ毎日催された。この諸々のイベントを通してウィーン社会の各階級、階層、集団が自らの文化における優位性を宣伝し、社会全体の代表者であることを自他に示した。その結果この時期にはヨーロッパの政治秩序のみでなく、「音楽の都」のウィーンにふさわしい文化的秩序も示唆された。この論文では、マティアス・ペルトの日記を通してウィーン会議前後の文化的事業の果たした役割と意味を探る。 / In 1914-1815, after a quarter century if war, the "Congress of Vienna" set out to determine the new political order of Europe. Before and during the "Congress" a large number of events, large and small, were staged. These included military parades, religious ceremonies, concerts of music, theater performances, balls, "folk festivals" and the like. Through such events various social classes, strata, and groups demonstrated their own cultural superiority to themselves and to others and suggested that they were the proper representatives of society in general. For this reason the "Congress of Vienna" was not simply a time in which a new political order was set in place, but also one in which the corresponding cultural order was suggested. This study analyzes such social meanings of performances on the basis of the diaries of Matthias Franz Perth (1788-1856).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.923
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0030.005
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.008

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.241
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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